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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationTue, 21 Dec 2010 16:38:49 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/21/t1292949412hox639wkmqqmhfa.htm/, Retrieved Sun, 19 May 2024 17:43:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113737, Retrieved Sun, 19 May 2024 17:43:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [(Partial) Autocorrelation Function] [WS8 Autocorolation] [2010-12-01 09:55:45] [b84bdc9bd81e1f02ca0dcc4710c1b790]
-   PD    [(Partial) Autocorrelation Function] [ACF] [2010-12-21 15:58:54] [fc9068db680cd880760a7c0fccd81a61]
- R         [(Partial) Autocorrelation Function] [VRM] [2010-12-21 16:31:09] [fc9068db680cd880760a7c0fccd81a61]
- RM            [Variance Reduction Matrix] [VRM] [2010-12-21 16:38:49] [a8abc7260f3c847aeac0a796e7895a2e] [Current]
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Dataseries X:
143827
145191
146832
148577
149873
151847
153252
154292
155657
156523
156416
156693
160312
160438
160882
161668
164391
168556
169738
170387
171294
172202
172651
172770
178366
180014
181067
182586
184957
186417
188599
189490
190264
191221
191110
190674
195438
196393
197172
198760
200945
203845
204613
205487
206100
206315
206291
207801
211653
211325
211893
212056
214696
217455
218884
219816
219984
219062
218550
218179
222218
222196
223393
223292
226236
228831
228745
229140
229270
229359
230006
228810
232677
232961
234629
235660
240024
243554
244368
244356
245126
246321
246797
246735
251083
251786
252732
255051
259022
261698
263891
265247
262228
263429
264305
266371
273248
275472
278146
279506
283991
286794
288703
289285
288869
286942
285833
284095
289229
289389
290793
291454
294733
293853
294056
293982
293075
292391




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113737&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113737&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113737&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Variance Reduction Matrix
V(Y[t],d=0,D=0)2005930735.29139Range150906Trim Var.1625687765.12740
V(Y[t],d=1,D=0)2633598.51915709Range9896Trim Var.1478204.43040293
V(Y[t],d=2,D=0)4730646.05397301Range11846Trim Var.2293698.28631258
V(Y[t],d=3,D=0)13980338.0407323Range20441Trim Var.7490707.21073672
V(Y[t],d=0,D=1)20801085.1080863Range22435Trim Var.11341065.8215511
V(Y[t],d=1,D=1)1595848.17161172Range6407Trim Var.792223.369097709
V(Y[t],d=2,D=1)2293963.63918969Range9526Trim Var.1010805.21882465
V(Y[t],d=3,D=1)6577449.5817628Range18060Trim Var.2958899.65250305
V(Y[t],d=0,D=2)43745445.9226722Range31974Trim Var.22397876.5054504
V(Y[t],d=1,D=2)4184423.53179056Range12324Trim Var.2233714.9788422
V(Y[t],d=2,D=2)7000301.85702341Range18060Trim Var.2766013.63098464
V(Y[t],d=3,D=2)19710557.9858364Range28737Trim Var.9022796.24197531

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 2005930735.29139 & Range & 150906 & Trim Var. & 1625687765.12740 \tabularnewline
V(Y[t],d=1,D=0) & 2633598.51915709 & Range & 9896 & Trim Var. & 1478204.43040293 \tabularnewline
V(Y[t],d=2,D=0) & 4730646.05397301 & Range & 11846 & Trim Var. & 2293698.28631258 \tabularnewline
V(Y[t],d=3,D=0) & 13980338.0407323 & Range & 20441 & Trim Var. & 7490707.21073672 \tabularnewline
V(Y[t],d=0,D=1) & 20801085.1080863 & Range & 22435 & Trim Var. & 11341065.8215511 \tabularnewline
V(Y[t],d=1,D=1) & 1595848.17161172 & Range & 6407 & Trim Var. & 792223.369097709 \tabularnewline
V(Y[t],d=2,D=1) & 2293963.63918969 & Range & 9526 & Trim Var. & 1010805.21882465 \tabularnewline
V(Y[t],d=3,D=1) & 6577449.5817628 & Range & 18060 & Trim Var. & 2958899.65250305 \tabularnewline
V(Y[t],d=0,D=2) & 43745445.9226722 & Range & 31974 & Trim Var. & 22397876.5054504 \tabularnewline
V(Y[t],d=1,D=2) & 4184423.53179056 & Range & 12324 & Trim Var. & 2233714.9788422 \tabularnewline
V(Y[t],d=2,D=2) & 7000301.85702341 & Range & 18060 & Trim Var. & 2766013.63098464 \tabularnewline
V(Y[t],d=3,D=2) & 19710557.9858364 & Range & 28737 & Trim Var. & 9022796.24197531 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113737&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]2005930735.29139[/C][C]Range[/C][C]150906[/C][C]Trim Var.[/C][C]1625687765.12740[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]2633598.51915709[/C][C]Range[/C][C]9896[/C][C]Trim Var.[/C][C]1478204.43040293[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]4730646.05397301[/C][C]Range[/C][C]11846[/C][C]Trim Var.[/C][C]2293698.28631258[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]13980338.0407323[/C][C]Range[/C][C]20441[/C][C]Trim Var.[/C][C]7490707.21073672[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]20801085.1080863[/C][C]Range[/C][C]22435[/C][C]Trim Var.[/C][C]11341065.8215511[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]1595848.17161172[/C][C]Range[/C][C]6407[/C][C]Trim Var.[/C][C]792223.369097709[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]2293963.63918969[/C][C]Range[/C][C]9526[/C][C]Trim Var.[/C][C]1010805.21882465[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]6577449.5817628[/C][C]Range[/C][C]18060[/C][C]Trim Var.[/C][C]2958899.65250305[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]43745445.9226722[/C][C]Range[/C][C]31974[/C][C]Trim Var.[/C][C]22397876.5054504[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]4184423.53179056[/C][C]Range[/C][C]12324[/C][C]Trim Var.[/C][C]2233714.9788422[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]7000301.85702341[/C][C]Range[/C][C]18060[/C][C]Trim Var.[/C][C]2766013.63098464[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]19710557.9858364[/C][C]Range[/C][C]28737[/C][C]Trim Var.[/C][C]9022796.24197531[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113737&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113737&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Variance Reduction Matrix
V(Y[t],d=0,D=0)2005930735.29139Range150906Trim Var.1625687765.12740
V(Y[t],d=1,D=0)2633598.51915709Range9896Trim Var.1478204.43040293
V(Y[t],d=2,D=0)4730646.05397301Range11846Trim Var.2293698.28631258
V(Y[t],d=3,D=0)13980338.0407323Range20441Trim Var.7490707.21073672
V(Y[t],d=0,D=1)20801085.1080863Range22435Trim Var.11341065.8215511
V(Y[t],d=1,D=1)1595848.17161172Range6407Trim Var.792223.369097709
V(Y[t],d=2,D=1)2293963.63918969Range9526Trim Var.1010805.21882465
V(Y[t],d=3,D=1)6577449.5817628Range18060Trim Var.2958899.65250305
V(Y[t],d=0,D=2)43745445.9226722Range31974Trim Var.22397876.5054504
V(Y[t],d=1,D=2)4184423.53179056Range12324Trim Var.2233714.9788422
V(Y[t],d=2,D=2)7000301.85702341Range18060Trim Var.2766013.63098464
V(Y[t],d=3,D=2)19710557.9858364Range28737Trim Var.9022796.24197531



Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
n <- length(x)
sx <- sort(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Variance Reduction Matrix',6,TRUE)
a<-table.row.end(a)
for (bigd in 0:2) {
for (smalld in 0:3) {
mylabel <- 'V(Y[t],d='
mylabel <- paste(mylabel,as.character(smalld),sep='')
mylabel <- paste(mylabel,',D=',sep='')
mylabel <- paste(mylabel,as.character(bigd),sep='')
mylabel <- paste(mylabel,')',sep='')
a<-table.row.start(a)
a<-table.element(a,mylabel,header=TRUE)
myx <- x
if (smalld > 0) myx <- diff(myx,lag=1,differences=smalld)
if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd)
a<-table.element(a,var(myx))
a<-table.element(a,'Range',header=TRUE)
a<-table.element(a,max(myx)-min(myx))
a<-table.element(a,'Trim Var.',header=TRUE)
smyx <- sort(myx)
sn <- length(smyx)
a<-table.element(a,var(smyx[smyx>quantile(smyx,0.05) & smyxa<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable.tab')
bitmap(file='pic0.png')
op <- par(mfrow=c(2,2))
plot(x,type='l',xlab='time',ylab='value',main='d=0, D=0')
plot(diff(x,lag=1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=0')
plot(diff(x,lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=0, D=1')
plot(diff(diff(x,lag=1,differences=1),lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=1')
par(op)
dev.off()